These rules elaborate on, but rarely deviate from PEP-8. When in doubt, go with PEP-8.
Format your code for an 80 character wide screen.
Indentation is 4 spaces, as opposed to hard tabs (which it used to be). This is the Python standard.
For hanging indentation, use 8 spaces plus all args should be on the new line.
# Either of the following hanging indentation is considered acceptable. YES: return 'class: %s, host: %s, args = %s' % ( self.__class__.__name__, self.hostname, self.args) YES: return 'class: %s, host: %s, args = %s' % ( self.__class__.__name__, self.hostname, self.args) # Do not use 4 spaces for hanging indentation NO: return 'class: %s, host: %s, args = %s' % ( self.__class__.__name__, self.hostname, self.args) # Do put all args on new line NO: return 'class: %s, host: %s, args = %s' % (self.__class__.__name__, self.hostname, self.args)
Don't leave trailing whitespace, or put whitespace on blank lines.
Leave TWO blank lines between functions - this is Python, there are no clear function end markers, and we need help. Note that this intentionally contradicts PEP-8.
UpperCamelCasefor class names
The order of imports should be as follows:
Within one of these three sections, all module imports using the from keyword should appear after regular imports. Each module should be imported on its own line. Do not use Wildcard imports (
from x import *) if possible.
Import modules, not classes. For example:
from common_lib import error def foo(): raise error.AutoservError(...)
from common_lib.error import AutoservError
import os import pickle import random import re import select import shutil import signal import subprocess import common # Magic autotest_lib module and sys.path setup code. import MySQLdb # After common so that we check our site-packages first. from common_lib import error
is None rather than
== None and
is not None rather than
!= None. This way you‘ll never run into a case where someone’s
__ne__ method does the wrong thing.
Generally, you want your comments to tell WHAT your code does, not HOW. We can figure out how from the code itself (or if not, your code needs fixing).
Try to describle the intent of a function and what it does in a triple-quoted (multiline) string just after the def line. We‘ve tried to do that in most places, though undoubtedly we’re not perfect. A high level overview is incredibly helpful in understanding code.
Strings should use only single quotes for hardcoded strings in the code. Double quotes are acceptable when single quote is used as part of the string. Multiline strings should not use '' but wrap the string using parentheseses.
REALLY_LONG_STRING = ('This is supposed to be a really long string that is ' 'over 80 characters and does not use a slash to ' 'continue.')
Docstrings are important to keep our code self documenting. While it's not necessary to overdo documentation, we ask you to be sensible and document any nontrivial function. When creating docstrings, please add a newline at the beginning of your triple quoted string and another newline at the end of it. If the docstring has multiple lines, please include a short summary line followed by a blank line before continuing with the rest of the description. Please capitalize and punctuate accordingly the sentences. If the description has multiple lines, put two levels of indentation before proceeding with text. An example docstring:
def foo(param1, param2): """ Summary line. Long description of method foo. @param param1: A thing called param1 that is used for a bunch of stuff that has methods bar() and baz() which raise SpamError if something goes awry. @returns a list of integers describing changes in a source tree @raises exception that could be raised if a certain condition occurs. """
The tags that you can put inside your docstring are tags recognized by systems like doxygen. Not all places need all tags defined, so choose them wisely while writing code. Generally (if applicable) always list parameters, return value (if there is one), and exceptions that can be raised to each docstring.
|@raise||If the function can throw an exception, this tag documents the possible exception types.|
|@raises||Same as @raise.|
|@return||Return value description|
|@returns||Same as @return|
|@see||Reference to other parts of the codebase.|
|@warning||Call attention to potential problems with the code|
|@var||Documentation for a variable or enum value (either global or as a member of a class)|
When in doubt refer to: http://doxygen.nl/commands.html
Keep it simple; this is not the right place to show how smart you are. We have plenty of system failures to deal with without having to spend ages figuring out your code, thanks ;-) Readbility, readability, readability. Strongly prefer readability and simplicity over compactness.
“Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you are, by definition, not smart enough to debug it.” Brian Kernighan
Please keep functions short, under 30 lines or so if possible. Even though you are amazingly clever, and can cope with it, the rest of us are busy and stupid, so be nice and help us out. To quote the Linux Kernel coding style:
Functions should be short and sweet, and do just one thing. They should fit on one or two screenfuls of text (the ISO/ANSI screen size is 80x24, as we all know), and do one thing and do that well.
When raising exceptions, the preferred syntax for it is:
raise FooException('Exception Message')
Please don‘t raise string exceptions, as they’re deprecated and will be removed from future versions of python. If you're in doubt about what type of exception you will raise, please look at http://docs.python.org/lib/module-exceptions.html and client/common_lib/error.py, the former is a list of python built in exceptions and the later is a list of autotest/autoserv internal exceptions. Of course, if you really need to, you can extend the exception definitions on client/common_lib/error.py.
Submit changes through the Chrome OS gerrit instance. This process is documented on chromium.org.